KNOWLEDGE, INTERACTION AND INTELLIGENT SYSTEMS-3

Anno accademico
2023/2024 Programmi anni precedenti
Titolo corso in inglese
KNOWLEDGE, INTERACTION AND INTELLIGENT SYSTEMS-3
Codice insegnamento
PHD157-3 (AF:471259 AR:258253)
Modalità
In presenza
Crediti formativi universitari
2
Livello laurea
Corso di Dottorato (D.M.45)
Settore scientifico disciplinare
INF/01
Periodo
Annuale
Anno corso
1
Sede
VENEZIA
Spazio Moodle
Link allo spazio del corso
The course will introduce the most recent Neural Network techniques to process non-euclidean data, such as graphs and meshes.
Students will gain a deep knowledge of the main challenges of developing and using Neural Network algorithms to graphs, together with state-of-the-art solutions from both a theoretical and practical perspective.
Basic knowledge of Linear Algebra, Probability, and Python Coding.
Challenges of graphs: permutation invariance and covariance
Convolution on graphs
Graphs Auto-Encoders
Short paper, with the possibility to choose between:
- literature review paper
- application of GNNs to a specific problem
Lectures and hands-on sessions
Inglese
scritto
Programma definitivo.
Data ultima modifica programma: 30/05/2023